Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
2D
2.5D
stable-diffusion
stable-diffusion-diffusers
Eagelaxis
Instructions to use Yntec/CetusRemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/CetusRemix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/CetusRemix", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 920 Bytes
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license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
language:
- en
tags:
- Anime
- 2D
- 2.5D
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- Eagelaxis
inference: true
---
# Cetus Remix
A mix of Cetus 3.5 and Cetus 4 to create my favorite Cetus model! Check out this comparison:

(Click for 1920px version)
Sample and prompt:

Pretty cute girl. Like lesser birds on the four winds. Like silver scrapes in May. Now the sands become a crust. And most of you have gone away.
Original pages:
https://civitai.com/models/6755?modelVersionId=29851 (CetusMix v3.5)
https://civitai.com/models/6755?modelVersionId=78676 (CetusMix v4)
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